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Data classification can be viewed as a multitude of labels that are used to define the type of data, especially on confidentiality and integrity issues. [1] Data classification is typically a manual process; however, there are tools that can help gather information about the data. [2] Data sensitivity levels are often proposed to be considered. [2]
Finally, information at one level of classification may be "upgraded by aggregation" to a higher level. For example, a specific technical capability of a weapons system might be classified Secret, but the aggregation of all technical capabilities of the system into a single document could be deemed Top Secret.
The purpose of classification is to protect information. Higher classifications protect information that might endanger national security.Classification formalises what constitutes a "state secret" and accords different levels of protection based on the expected damage the information might cause in the wrong hands.
For access to information at a given classification level, individuals must have been granted access by the sponsoring government organization at that or a higher classification level, and have a need to know the information. The government also supports access to SCI and SAPs in which access is determined by need-to-know.
"Very sensitive information", which might (for example) seriously harm national defence or crime investigations. Data should only be marked as SECRET if the Senior Information Risk Owner (which is a board level position in an organisation) agrees that it is high-impact and that the data must be protected against very capable attackers. Although ...
The Information Coding Classification (ICC) is a classification system covering almost all extant 6500 knowledge fields (knowledge domains).Its conceptualization goes beyond the scope of the well known library classification systems, such as Dewey Decimal Classification (DDC), Universal Decimal Classification (UDC), and Library of Congress Classification (LCC), by extending also to knowledge ...
Level of measurement or scale of measure is a classification that describes the nature of information within the values assigned to variables. [1] Psychologist Stanley Smith Stevens developed the best-known classification with four levels, or scales, of measurement: nominal , ordinal , interval , and ratio .
It drops the "restricted" classification level. It removes classification authority from 28 government entities and limits its use in 17 more. There are now explicit guidelines for the remaining three classification levels to prevent a systematic flood of classified documents coming from the Pentagon and other agencies.